摘要
冲压发动机导弹弹道设计优化与固体火箭发动机导弹弹道优化不同,主要体现在其弹道与冲压发动机推力的强藕合性上。多目标遗传算法是多目标优化的强有力工具,它可以有效的找到Pareto前端,设计人员可以从中选择满意的最佳方案。建立了带冲压发动机导弹优化需要的数学模型,并采用改进的非劣分类遗传算法(Nondominated Sorting Genetic Algorithm II,NSGA-II)对冲压发动机导弹弹道进行多目标优化,结果表明弹道与冲压发动机推力进行一体化优化可以显著的提高弹道性能。
Because of strong coupling between the missile trajectory and the ramjet, the trajectory optimization is so different for a ramjet powered missile compared to a solid propellant engine powered missile. As a powerful multi-objective optimization tool, multi-objective genetic algorithm can effectively find Pareto front. And then a proper design scheme can be selected in the Pareto front. The mathematical model of a ramjet engine powered missile was established, and the improved Nondominated Sorting Genetic Algorithm Ⅱ （NSGA-Ⅱ） method was used for multi-objective trajectory optimization. The optimization indicates that the trajectory performance can be evidently improved when the trajectory and the thrust of ramjet are optimized together.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第9期2764-2766,共3页
Journal of System Simulation
关键词
冲压发动机
弹道优化
多目标优化
遗传算法
ramjet
trajectory optimization
multi-objective optimization
genetic algorithm
